I’ve watched brands fire agencies because a Facebook ad didn’t convert on the 30th of the month, completely ignoring the 28 previous touchpoints that built the trust in the first place. It’s a painful pattern that plays out over and over again.
The industry is obsessed with Multi-Touch Attribution (MTA). The promise sounds beautiful on paper: a perfect algorithm that gives credit to the YouTube pre-roll, the Pinterest pin, the Instagram Story, and the Google Search ad, all in perfect proportion. But here is the dirty secret nobody wants to admit: most MTA models are just sophisticated versions of guessing.
We have confused mathematical distribution with strategic understanding. We need to stop asking “How do we split the credit?” and start asking a much harder question: “How does the story actually work?”
The Flaw: Linear Thinking in a Circular World
Most MTA models are algebraic. Time-Decay says the closer you are to the sale, the more important you are. Linear says everyone gets an equal cut. This works okay for a cheap pair of socks. It fails completely for any high-consideration purchase like a SaaS platform, a financial service, or a B2B retainer.
Why? Because these models assume the customer is a robot walking a straight line. But real buyers don’t walk a line. They walk a hermeneutic circle.
What Is a Hermeneutic Circle?
It is a theory of interpretation. It states that you cannot understand the whole without understanding the parts, and you cannot understand the parts without understanding the whole. In advertising, it looks like this:
- YouTube Pre-roll triggers a desire. The customer googles the brand.
- Google Search Ad provides validation. They click, read, and leave.
- Instagram Retargeting Ad reminds them of the desire.
- Email Case Study provides social proof.
- They return to Google again, but this time with a new intention: “Reviews.”
The linear model sees this sequence as chaos. It tries to crunch it into a neat formula: 0.1, 0.3, 0.5, 0.1. But the correct view sees it as a conversation. The channels are not in a race. They are in a dialogue with the customer’s internal doubts and desires.
How to Actually Apply This Framework
You can’t code a hermeneutic circle into a dashboard. But you can change your strategy. Here is how we do it at Sagum:
1. Define the Parts by Job, Not by Channel
Stop looking at “Facebook vs. Google.” Look at awareness, consideration, and trust instead.
- Top of Funnel (YouTube, Explore, TikTok): The job is curiosity. Success is not a click. Success is a shift in memory. You can’t directly attribute that. You infer it through brand lift studies or delayed search volume.
- Middle of Funnel (Retargeting, Email): The job is education and validation. Success is time on site and page scroll depth.
- Bottom of Funnel (Search, Shopping): The job is closing. Success is a transaction.
2. Stop Optimizing for the Wrong Metric
If your YouTube pre-roll is optimized for a direct sale, you will make terrible creative. You will slap a “Shop Now” button on a story that should be building a brand. Conversely, if your Google Search ad is optimized for views, you will blow your budget on high-funnel keywords that generate no revenue.
3. Write a Narrative Report, Not Just a Data Report
Instead of showing a pie chart that says Facebook 30% and Google 50%, write a contextual summary. Something like this:
“This month, we followed the circle of our top buyer. They were first exposed on YouTube for awareness. They searched us three days later for validation. They saw a retargeting ad on Facebook as a reminder but didn’t click. They finally converted via a Google Shopping ad after searching for product reviews. The Shopping ad wasn’t the hero. The YouTube ad was the storyteller. The retargeting ad was the hand on the shoulder. The Search ad was the cashier.”
The Outcome: Stop Blaming, Start Aligning
When you stop trying to mathematically prove which channel is the star, you stop the internal war between your social team and your search team. You move from a culture of blame attribution to a culture of strategic narration.
The goal isn’t the cheapest last click. The goal is to orchestrate a cohesive journey across all the parts of the whole.
The next time a software vendor tries to sell you the perfect MTA model, ask them one question: “Can your model tell me the story of why the customer bought, or just the path they took?”
If they can’t tell you the story, they don’t understand the customer. And if they don’t understand the customer, they can’t help you scale.
Stop chasing the phantom of perfect attribution. Start respecting the circle of how buying actually happens.
